Job DescriptionJob Title: Senior Data Engineer (AWS)
nYears of Experience: 7+Years
nNotice Period: Immediate to 30 Days
nTeam: Enterprise AI & Data — Platform & Architecture
nAbout the Role
nWe are looking for a Senior Data Engineer to support and enhance our config-driven, multi-tenant AWS Data Lakehouse platform. You will work across multiple tenants, contribute to framework development, resolve production issues, and provide technical consulting to onboarding teams. This is a hands-on engineering role requiring solid AWS, Python, PySpark, SQL, and Terraform skills within a fast-paced, infrastructure-as-code heavy environment.
nRequired Skills & Experience
n
n
7+ years of hands-on data engineering experience in cloud-native environments (AWS required)n
5+ years of robust proficiency in Python and PySpark for data processing, transformation, and pipeline developmentn
7+ years of experience in advanced SQL skills , complex queries, window functions, performance tuning, query optimization across Redshift and Spark SQLn




5+ years of hands on experience with AWS Glue, EMR, Databricks, or similar Spark-based compute servicesn
5+ years of experience with Terraform for infrastructure provisioning and managementn
5+ years of experience in different ingestion & ETL tools like Glue, DMS, Golden Gate, HVR, Informatica, Talend etc.n
Experience supporting multi-tenant platforms, understanding tenant isolation, shared frameworks, and config-driven patternsn
Robust troubleshooting and debugging skills — ability to diagnose and resolve production pipeline failures quicklyn
Excellent communication skills, ability to engage with multiple tenant teams, provide technical consulting, and explain complex solutions clearlyn

nNice to Have
n
n
Experience with Airflow or Autosys for workflow orchestrationn
Experience with AWS Lake Formation for governance and fine-grained access controln
Familiarity with SAP source systems or enterprise ERP

📌 Senior Data Engineer Vasanthanagar (India)
🏢 Objectways
📍 India